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2020 – today
- 2024
[j28]Negin Ghamsarian
, Doris Putzgruber-Adamitsch, Stephanie Sarny, Raphael Sznitman, Klaus Schoeffmann, Yosuf El-Shabrawi:
Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning. IEEE Access 12: 21012-21025 (2024)- [j27]Negin Ghamsarian, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman:
DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception. Int. J. Comput. Assist. Radiol. Surg. 19(5): 851-859 (2024) - [j26]Christopher Hahne, Georges Chabouh, Arthur Chavignon, Olivier Couture, Raphael Sznitman:
RF-ULM: Ultrasound Localization Microscopy Learned From Radio-Frequency Wavefronts. IEEE Trans. Medical Imaging 43(9): 3253-3262 (2024) - [j25]Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes:
Hyperbolic Random Forests. Trans. Mach. Learn. Res. 2024 (2024) - [c45]Christopher Hahne, Michel Hayoz, Raphael Sznitman:
StofNet: Super-Resolution Time of Flight Network. ICASSP 2024: 266-270 - [c44]Theodoros Pissas, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman:
Masked Image Modelling for Retinal OCT Understanding. OMIA@MICCAI 2024: 115-125 - [c43]Michel Hayoz, Christopher Hahne, Thomas Kurmann, Max Allan, Guido Beldi, Daniel Candinas, Pablo Márquez-Neila, Raphael Sznitman:
Online 3D Reconstruction and Dense Tracking in Endoscopic Videos. MICCAI (6) 2024: 444-454 - [c42]Fei Wu, Pablo Márquez-Neila, Mingyi Zheng, Hedyeh Rafii-Tari, Raphael Sznitman:
Correlation-aware active learning for surgery video segmentation. WACV 2024: 1999-2009 - [i48]Theodoros Pissas, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman:
Masked Image Modelling for retinal OCT understanding. CoRR abs/2405.14788 (2024) - [i47]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Continual Unsupervised Out-of-Distribution Detection. CoRR abs/2406.02327 (2024) - [i46]Lars Doorenbos, Eva Sextl, Kevin Heng, Stefano Cavuoti, Massimo Brescia, Olena Torbaniuk, Giuseppe Longo, Raphael Sznitman, Pablo Márquez-Neila:
Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models. CoRR abs/2406.18175 (2024) - [i45]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection. CoRR abs/2407.04022 (2024) - [i44]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Targeted Visual Prompting for Medical Visual Question Answering. CoRR abs/2408.03043 (2024) - [i43]Michel Hayoz, Christopher Hahne, Thomas Kurmann, Max Allan, Guido Beldi, Daniel Candinas, Pablo Márquez-Neila, Raphael Sznitman:
Online 3D reconstruction and dense tracking in endoscopic videos. CoRR abs/2409.06037 (2024) - 2023
- [j24]Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman:
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery. Int. J. Comput. Assist. Radiol. Surg. 18(6): 1085-1091 (2023) - [j23]Michel Hayoz, Christopher Hahne, Mathias Gallardo, Daniel Candinas, Thomas Kurmann, Maximilian Allan, Raphael Sznitman:
Learning how to robustly estimate camera pose in endoscopic videos. Int. J. Comput. Assist. Radiol. Surg. 18(7): 1185-1192 (2023) - [j22]Tatiana Fountoukidou, Raphael Sznitman:
A reinforcement learning approach for VQA validation: An application to diabetic macular edema grading. Medical Image Anal. 87: 102822 (2023) - [c41]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Logical Implications for Visual Question Answering Consistency. CVPR 2023: 6725-6735 - [c40]Javier Gamazo Tejero, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman, Pablo Márquez-Neila:
Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns. CVPR 2023: 11381-11391 - [c39]Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila:
Stochastic Segmentation with Conditional Categorical Diffusion Models. ICCV 2023: 1119-1129 - [c38]Christopher Hahne, Raphael Sznitman:
Geometric Ultrasound Localization Microscopy. MICCAI (10) 2023: 217-227 - [c37]Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman:
Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training. MICCAI (1) 2023: 331-341 - [c36]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Localized Questions in Medical Visual Question Answering. MICCAI (2) 2023: 361-370 - [i42]Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila:
Stochastic Segmentation with Conditional Categorical Diffusion Models. CoRR abs/2303.08888 (2023) - [i41]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Logical Implications for Visual Question Answering Consistency. CoRR abs/2303.09427 (2023) - [i40]Javier Gamazo Tejero, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman, Pablo Márquez-Neila:
Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns. CoRR abs/2303.11678 (2023) - [i39]Alain Jungo, Lars Doorenbos, Tommaso Da Col, Maarten Beelen, Martin Zinkernagel, Pablo Márquez-Neila, Raphael Sznitman:
Unsupervised out-of-distribution detection for safer robotically-guided retinal microsurgery. CoRR abs/2304.05040 (2023) - [i38]Michel Hayoz, Christopher Hahne, Mathias Gallardo, Daniel Candinas, Thomas Kurmann, Maximilian Allan, Raphael Sznitman:
Learning How To Robustly Estimate Camera Pose in Endoscopic Videos. CoRR abs/2304.08023 (2023) - [i37]Christopher Hahne, Raphael Sznitman:
Geometric Ultrasound Localization Microscopy. CoRR abs/2306.15548 (2023) - [i36]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Localized Questions in Medical Visual Question Answering. CoRR abs/2307.01067 (2023) - [i35]Tatiana Fountoukidou, Raphael Sznitman:
A reinforcement learning approach for VQA validation: an application to diabetic macular edema grading. CoRR abs/2307.09886 (2023) - [i34]Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman:
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training. CoRR abs/2307.16660 (2023) - [i33]Christopher Hahne, Michel Hayoz, Raphael Sznitman:
StofNet: Super-resolution Time of Flight Network. CoRR abs/2308.12009 (2023) - [i32]Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes:
Hyperbolic Random Forests. CoRR abs/2308.13279 (2023) - [i31]Christopher Hahne, Georges Chabouh, Arthur Chavignon, Olivier Couture, Raphael Sznitman:
RF-ULM: Deep Learning for Radio-Frequency Ultrasound Localization Microscopy. CoRR abs/2310.01545 (2023) - [i30]Christopher Hahne, Georges Chabouh, Olivier Couture, Raphael Sznitman:
Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data. CoRR abs/2311.04081 (2023) - [i29]Fei Wu, Pablo Márquez-Neila, Mingyi Zheng, Hedyeh Rafii-Tari, Raphael Sznitman:
Correlation-aware active learning for surgery video segmentation. CoRR abs/2311.08811 (2023) - [i28]Negin Ghamsarian, Doris Putzgruber-Adamitsch, Stephanie Sarny, Raphael Sznitman, Klaus Schoeffmann, Yosuf El-Shabrawi:
Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning. CoRR abs/2312.03401 (2023) - [i27]Negin Ghamsarian, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman:
DeepPyramid+: Medical Image Segmentation using Pyramid View Fusion and Deformable Pyramid Reception. CoRR abs/2312.03409 (2023) - [i26]Negin Ghamsarian, Yosuf El-Shabrawi, Sahar Nasirihaghighi, Doris Putzgruber-Adamitsch, Martin Zinkernagel, Sebastian Wolf, Klaus Schoeffmann, Raphael Sznitman:
Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection. CoRR abs/2312.06295 (2023) - 2022
- [j21]Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla M. Pugh, Danail Stoyanov, S. Swaroop Vedula, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor P. Grantcharov, Makoto Hashizume, Doreen Heckmann-Nötzel, Hannes Götz Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Tobias Roß, Raphael Sznitman, Russell H. Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Justin Collins, Ines Gockel, Jan Goedeke, Daniel A. Hashimoto, Luc Joyeux, Kyle Lam, Daniel Richard Leff, Amin Madani, Hani J. Marcus, Ozanan R. Meireles, Alexander Seitel, Dogu Teber, Frank Ückert, Beat P. Müller-Stich, Pierre Jannin, Stefanie Speidel:
Surgical data science - from concepts toward clinical translation. Medical Image Anal. 76: 102306 (2022) - [c35]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Data Invariants to Understand Unsupervised Out-of-Distribution Detection. ECCV (31) 2022: 133-150 - [c34]Negin Ghamsarian, Mario Taschwer, Raphael Sznitman, Klaus Schoeffmann:
DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos. MICCAI (5) 2022: 276-286 - [c33]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Consistency-Preserving Visual Question Answering in Medical Imaging. MICCAI (8) 2022: 386-395 - [i25]Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Consistency-preserving Visual Question Answering in Medical Imaging. CoRR abs/2206.13296 (2022) - [i24]Negin Ghamsarian, Mario Taschwer, Raphael Sznitman, Klaus Schoeffmann:
DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos. CoRR abs/2207.01453 (2022) - [i23]Lars Doorenbos, Olena Torbaniuk, Stefano Cavuoti, Maurizio Paolillo, Giuseppe Longo, Massimo Brescia, Raphael Sznitman, Pablo Márquez-Neila:
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection. CoRR abs/2208.10984 (2022) - 2021
- [j20]Thomas Kurmann, Pablo Márquez-Neila, Max Allan, Sebastian Wolf, Raphael Sznitman:
Mask then classify: multi-instance segmentation for surgical instruments. Int. J. Comput. Assist. Radiol. Surg. 16(7): 1227-1236 (2021) - [j19]Laurent Lejeune, Raphael Sznitman:
A positive/unlabeled approach for the segmentation of medical sequences using point-wise supervision. Medical Image Anal. 73: 102185 (2021) - [c32]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 111-118 - [c31]Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman:
CataNet: Predicting Remaining Cataract Surgery Duration. MICCAI (4) 2021: 426-435 - [e5]Sandy Engelhardt, Ilkay Öksüz, Dajiang Zhu, Yixuan Yuan, Anirban Mukhopadhyay, Nicholas Heller, Sharon Xiaolei Huang, Hien Van Nguyen, Raphael Sznitman, Yuan Xue:
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections - First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13003, Springer 2021, ISBN 978-3-030-88209-9 [contents] - [i22]Max Allan, A. Jonathan McLeod, Congcong Wang, Jean-Claude Rosenthal, Zhenglei Hu, Niklas Gard, Peter Eisert, Ke Xue Fu, Trevor Zeffiro, Wenyao Xia, Zhanshi Zhu, Huoling Luo, Fucang Jia, Xiran Zhang, Xiaohong Li, Lalith Sharan, Thomas Kurmann, Sebastian Schmid, Raphael Sznitman, Dimitris Psychogyios, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel:
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge. CoRR abs/2101.01133 (2021) - [i21]Andrés Marafioti, Michel Hayoz, Mathias Gallardo, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Raphael Sznitman:
CataNet: Predicting remaining cataract surgery duration. CoRR abs/2106.11048 (2021) - [i20]Laurent Lejeune, Raphael Sznitman:
A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision. CoRR abs/2107.08394 (2021) - [i19]Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila:
Data Invariants to Understand Unsupervised Out-of-Distribution Detection. CoRR abs/2111.13362 (2021) - 2020
- [j18]Minh H. Vu, Tommy Löfstedt, Tufve Nyholm, Raphael Sznitman:
A Question-Centric Model for Visual Question Answering in Medical Imaging. IEEE Trans. Medical Imaging 39(9): 2856-2868 (2020) - [c30]Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 1 - [e4]Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani:
Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12446, Springer 2020, ISBN 978-3-030-61165-1 [contents] - [i18]Minh H. Vu, Tommy Löfstedt, Tufve Nyholm, Raphael Sznitman:
A Question-Centric Model for Visual Question Answering in Medical Imaging. CoRR abs/2003.08760 (2020) - [i17]Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla M. Pugh, Danail Stoyanov, S. Swaroop Vedula, Beat Peter Müller-Stich, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor P. Grantcharov, Makoto Hashizume, Hannes Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Raphael Sznitman, Russell H. Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Pierre Jannin, Stefanie Speidel:
Surgical Data Science - from Concepts to Clinical Translation. CoRR abs/2011.02284 (2020)
2010 – 2019
- 2019
- [j17]Elvis C. S. Chen, Kanako Harada, Raphael Sznitman:
IJCARS - IPCAI 2019 special issue: conference information processing for computer-assisted interventions, 10th international conference 2019 - part 1. Int. J. Comput. Assist. Radiol. Surg. 14(6): 911-912 (2019) - [j16]Andrea Mendizabal, Raphael Sznitman, Stephane Cotin:
Force classification during robotic interventions through simulation-trained neural networks. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1601-1610 (2019) - [j15]Ksenia Konyushkova, Raphael Sznitman, Pascal Fua:
Geometry in active learning for binary and multi-class image segmentation. Comput. Vis. Image Underst. 182: 1-16 (2019) - [j14]Serife Seda Kucur, Pablo Márquez-Neila, Mathias Abegg, Raphael Sznitman:
Patient-attentive sequential strategy for perimetry-based visual field acquisition. Medical Image Anal. 54: 179-192 (2019) - [c29]Minh H. Vu, Raphael Sznitman, Tufve Nyholm, Tommy Löfstedt:
Ensemble of Streamlined Bilinear Visual Question Answering Models for the ImageCLEF 2019 Challenge in the Medical Domain. CLEF (Working Notes) 2019 - [c28]Thomas Kurmann, Pablo Márquez-Neila, Sebastian Wolf, Raphael Sznitman:
Deep Multi-label Classification in Affine Subspaces. MICCAI (1) 2019: 165-173 - [c27]Tatiana Fountoukidou, Raphael Sznitman:
Concept-Centric Visual Turing Tests for Method Validation. MICCAI (5) 2019: 254-262 - [c26]Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman:
Fused Detection of Retinal Biomarkers in OCT Volumes. MICCAI (1) 2019: 255-263 - [c25]Pablo Márquez-Neila, Raphael Sznitman:
Image Data Validation for Medical Systems. MICCAI (4) 2019: 329-337 - [c24]Huu-Giao Nguyen, Alessia Pica, Jan Hrbacek, Damien C. Weber, Francesco La Rosa, Ann Schalenbourg, Raphael Sznitman, Meritxell Bach Cuadra:
A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps. MIDL 2019: 370-379 - [e3]Luping Zhou, Nicholas Heller, Yiyu Shi, Yiming Xiao, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Xiaobo Sharon Hu, Danny Ziyi Chen, Matthieu Chabanas, Hassan Rivaz, Ingerid Reinertsen:
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention - International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11851, Springer 2019, ISBN 978-3-030-33641-7 [contents] - [i16]Thomas Kurmann, Pablo Márquez-Neila, Sebastian Wolf, Raphael Sznitman:
Deep Multi Label Classification in Affine Subspaces. CoRR abs/1907.04563 (2019) - [i15]Tatiana Fountoukidou, Raphael Sznitman:
Concept-Centric Visual Turing Tests for Method Validation. CoRR abs/1907.06414 (2019) - [i14]Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman:
Fused Detection of Retinal Biomarkers in OCT Volumes. CoRR abs/1907.06955 (2019) - 2018
- [j13]Tatiana Fountoukidou, Philippe Raisin, Daniel Kaufmann, Jörn Justiz, Raphael Sznitman, Sebastian Wolf:
Motion-invariant SRT treatment detection from direct M-scan OCT imaging. Int. J. Comput. Assist. Radiol. Surg. 13(5): 683-691 (2018) - [j12]Laurent Lejeune, Jan Grossrieder, Raphael Sznitman:
Iterative multi-path tracking for video and volume segmentation with sparse point supervision. Medical Image Anal. 50: 65-81 (2018) - [j11]Przemyslaw Glowacki, Miguel Amável Pinheiro, Agata Mosinska, Engin Türetken, Daniel Lebrecht, Raphael Sznitman, Anthony Holtmaat, Jan Kybic, Pascal Fua:
Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 755-761 (2018) - [j10]Xiaofei Du, Thomas Kurmann, Ping-Lin Chang, Maximilian Allan, Sébastien Ourselin, Raphael Sznitman, John D. Kelly, Danail Stoyanov:
Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks. IEEE Trans. Medical Imaging 37(5): 1276-1287 (2018) - [c23]Andrea Mendizabal, Tatiana Fountoukidou, Jan Hermann, Raphael Sznitman, Stephane Cotin:
A Combined Simulation and Machine Learning Approach for Image-Based Force Classification During Robotized Intravitreal Injections. MICCAI (4) 2018: 12-20 - [c22]Huu-Giao Nguyen, Alessia Pica, Philippe Maeder, Ann Schalenbourg, Marta Peroni, Jan Hrbacek, Damien C. Weber, Meritxell Bach Cuadra, Raphael Sznitman:
Ocular Structures Segmentation from Multi-sequences MRI Using 3D Unet with Fully Connected CRFs. COMPAY/OMIA@MICCAI 2018: 167-175 - [e2]Danail Stoyanov, Zeike Taylor, Simone Balocco, Raphael Sznitman, Anne L. Martel, Lena Maier-Hein, Luc Duong, Guillaume Zahnd, Stefanie Demirci, Shadi Albarqouni, Su-Lin Lee, Stefano Moriconi, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Eric Granger, Pierre Jannin:
Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science 11043, Springer 2018, ISBN 978-3-030-01363-9 [contents] - [i13]Sebastian Bodenstedt, Max Allan, Anthony Agustinos, Xiaofei Du, Luis C. García-Peraza-Herrera, Hannes Kenngott, Thomas Kurmann, Beat P. Müller-Stich, Sébastien Ourselin, Daniil Pakhomov, Raphael Sznitman, Marvin Teichmann, Martin Thoma, Tom Vercauteren, Sandrine Voros, Martin Wagner, Pamela Wochner, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel:
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery. CoRR abs/1805.02475 (2018) - [i12]Laurent Lejeune, Jan Grossrieder, Raphael Sznitman:
Iterative multi-path tracking for video and volume segmentation with sparse point supervision. CoRR abs/1809.00970 (2018) - [i11]Ksenia Konyushkova, Raphael Sznitman, Pascal Fua:
Discovering General-Purpose Active Learning Strategies. CoRR abs/1810.04114 (2018) - 2017
- [j9]Stefanos Apostolopoulos, Raphael Sznitman:
Efficient OCT Volume Reconstruction From Slitlamp Microscopes. IEEE Trans. Biomed. Eng. 64(10): 2403-2410 (2017) - [c21]Laurent Lejeune, Mario Christoudias, Raphael Sznitman:
Expected Exponential Loss for Gaze-Based Video and Volume Ground Truth Annotation. CVII-STENT/LABELS@MICCAI 2017: 106-115 - [c20]Stefanos Apostolopoulos, Sandro De Zanet, Carlos Ciller, Sebastian Wolf, Raphael Sznitman:
Pathological OCT Retinal Layer Segmentation Using Branch Residual U-Shape Networks. MICCAI (3) 2017: 294-301 - [c19]Thomas Kurmann, Pablo Márquez-Neila, Xiaofei Du, Pascal Fua, Danail Stoyanov, Sebastian Wolf, Raphael Sznitman:
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery. MICCAI (2) 2017: 505-513 - [c18]Ksenia Konyushkova, Raphael Sznitman, Pascal Fua:
Learning Active Learning from Data. NIPS 2017: 4225-4235 - [i10]Ksenia Konyushkova, Raphael Sznitman, Pascal Fua:
Learning Active Learning from Real and Synthetic Data. CoRR abs/1703.03365 (2017) - [i9]Laurent Lejeune, Mario Christoudias, Raphael Sznitman:
Expected exponential loss for gaze-based video and volume ground truth annotation. CoRR abs/1707.04905 (2017) - [i8]Stefanos Apostolopoulos, Sandro De Zanet, Carlos Ciller, Sebastian Wolf, Raphael Sznitman:
Pathological OCT Retinal Layer Segmentation using Branch Residual U-shape Networks. CoRR abs/1707.04931 (2017) - [i7]Thomas Kurmann, Pablo Márquez-Neila, Xiaofei Du, Pascal Fua, Danail Stoyanov, Sebastian Wolf, Raphael Sznitman:
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery. CoRR abs/1710.06668 (2017) - 2016
- [j8]Sarah Zbinden, Serife Seda Kucur, Patrick Steiner, Sebastian Wolf, Raphael Sznitman:
Automatic assessment of time-resolved OCT images for selective retina therapy. Int. J. Comput. Assist. Radiol. Surg. 11(6): 863-871 (2016) - [j7]Sandro De Zanet, Tobias Rudolph, Rogério Richa, Christoph Tappeiner, Raphael Sznitman:
Retinal slit lamp video mosaicking. Int. J. Comput. Assist. Radiol. Surg. 11(6): 1035-1041 (2016) - [c17]Agata Mosinska-Domanska, Raphael Sznitman, Przemyslaw Glowacki, Pascal Fua:
Active Learning for Delineation of Curvilinear Structures. CVPR 2016: 5231-5239 - [e1]Juan Ansó, Kate Gerber, Nicolas Gerber, Marius Schwalbe, Raphael Sznitman, Stefan Weber, Tom M. Williamson, Wilhelm Wimmer, Arya Nabavi:
15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29 - October 1, 2016, Bern, Switzerland. Der Andere Verlag 2016, ISBN 978-3-86247-595-7 [contents] - [i6]Ksenia Konyushkova, Raphael Sznitman, Pascal Fua:
Geometry in Active Learning for Binary and Multi-class Image Segmentation. CoRR abs/1606.09029 (2016) - [i5]Stefanos Apostolopoulos, Carlos Ciller, Sandro I. De Zanet, Sebastian Wolf, Raphael Sznitman:
RetiNet: Automatic AMD identification in OCT volumetric data. CoRR abs/1610.03628 (2016) - 2015
- [j6]Eduard Serradell, Miguel Amável Pinheiro, Raphael Sznitman, Jan Kybic, Francesc Moreno-Noguer, Pascal Fua:
Non-Rigid Graph Registration Using Active Testing Search. IEEE Trans. Pattern Anal. Mach. Intell. 37(3): 625-638 (2015) - [c16]Ksenia Konyushkova, Raphael Sznitman, Pascal Fua:
Introducing Geometry in Active Learning for Image Segmentation. ICCV 2015: 2974-2982 - [c15]Purnima Rajan, Weidong Han, Raphael Sznitman, Peter I. Frazier, Bruno Jedynak:
Bayesian Multiple Target Localization. ICML 2015: 1945-1953 - [i4]Ksenia Konyushkova, Raphael Sznitman, Pascal Fua:
Introducing Geometry in Active Learning for Image Segmentation. CoRR abs/1508.04955 (2015) - [i3]Agata Mosinska, Raphael Sznitman, Przemyslaw Glowacki, Pascal Fua:
Active Learning for Delineation of Curvilinear Structures. CoRR abs/1512.00747 (2015) - 2014
- [j5]Ayala Greenblum, Raphael Sznitman, Pascal Fua, Paulo E. Arratia, Josué Sznitman:
Caenorhabditis Elegans Segmentation Using Texture-Based Models for Motility Phenotyping. IEEE Trans. Biomed. Eng. 61(8): 2278-2289 (2014) - [c14]Przemyslaw Glowacki, Miguel Amável Pinheiro, Engin Türetken, Raphael Sznitman, Daniel Lebrecht, Jan Kybic, Anthony Holtmaat, Pascal Fua:
Reconstructing Evolving Tree Structures in Time Lapse Sequences. CVPR 2014: 3035-3042 - [c13]Raphael Sznitman, Carlos J. Becker, Pascal Fua:
Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery. MICCAI (2) 2014: 692-699 - 2013
- [j4]Raphael Sznitman, Rogério Richa, Russell H. Taylor, Bruno Jedynak, Gregory D. Hager:
Unified Detection and Tracking of Instruments during Retinal Microsurgery. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1263-1273 (2013) - [c12]Raphael Sznitman, Carlos J. Becker, François Fleuret, Pascal Fua:
Fast Object Detection with Entropy-Driven Evaluation. CVPR 2013: 3270-3277 - [c11]Raphael Sznitman, Aurélien Lucchi, Peter I. Frazier, Bruno Jedynak, Pascal Fua:
An Optimal Policy for Target Localization with Application to Electron Microscopy. ICML (1) 2013: 1-9 - [c10]Miguel Amável Pinheiro, Raphael Sznitman, Eduard Serradell, Jan Kybic, Francesc Moreno-Noguer, Pascal Fua:
Active Testing Search for Point Cloud Matching. IPMI 2013: 572-583 - [c9]Raphael Sznitman, Aurélien Lucchi, Marco Cantoni, Graham Knott, Pascal Fua:
Flash Scanning Electron Microscopy. MICCAI (3) 2013: 413-420 - 2012
- [j3]Bruno Jedynak, Peter I. Frazier, Raphael Sznitman:
Twenty Questions with Noise: Bayes Optimal Policies for Entropy Loss. J. Appl. Probab. 49(1): 114-136 (2012) - [j2]Rogério Richa, Marcin Balicki, Raphael Sznitman, Eric M. Meisner, Russell H. Taylor, Gregory D. Hager:
Vision-Based Proximity Detection in Retinal Surgery. IEEE Trans. Biomed. Eng. 59(8): 2291-2301 (2012) - [c8]Raphael Sznitman, Aurélien Lucchi, Natasa Pjescic-Emedji, Graham Knott, Pascal Fua:
Efficient Scanning for EM Based Target Localization. MICCAI (3) 2012: 337-344 - [c7]Raphael Sznitman, Karim Ali, Rogério Richa, Russell H. Taylor, Gregory D. Hager, Pascal Fua:
Data-Driven Visual Tracking in Retinal Microsurgery. MICCAI (2) 2012: 568-575 - 2011
- [c6]Rogério Richa, Marcin Balicki, Eric M. Meisner, Raphael Sznitman, Russell H. Taylor, Gregory D. Hager:
Visual Tracking of Surgical Tools for Proximity Detection in Retinal Surgery. IPCAI 2011: 55-66 - [c5]Rogério Richa, Raphael Sznitman, Russell H. Taylor, Gregory D. Hager:
Visual tracking using the sum of conditional variance. IROS 2011: 2953-2958 - [c4]Raphael Sznitman, Anasuya Basu, Rogério Richa, Jim Handa, Peter Gehlbach, Russell H. Taylor, Bruno Jedynak, Gregory D. Hager:
Unified Detection and Tracking in Retinal Microsurgery. MICCAI (1) 2011: 1-8 - 2010
- [j1]Raphael Sznitman, Bruno Jedynak:
Active Testing for Face Detection and Localization. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1914-1920 (2010) - [c3]Raphael Sznitman, Seth Billings, Diego Rother, Daniel Mirota, Yi Yang, James Handa, Peter Gehlbach, Jin U. Kang, Gregory D. Hager, Russell H. Taylor:
Active Multispectral Illumination and Image Fusion for Retinal Microsurgery. IPCAI 2010: 12-22 - [c2]Raphael Sznitman, Diego Rother, James Handa, Peter Gehlbach, Gregory D. Hager, Russell H. Taylor:
Adaptive Multispectral Illumination for Retinal Microsurgery. MICCAI (3) 2010: 465-472 - [i2]Raphael Sznitman, Bruno Jedynak:
Active Testing for Face Detection and Localization. CoRR abs/1003.5249 (2010) - [i1]Raphael Sznitman, Manaswi Gupta, Gregory D. Hager, Paulo E. Arratia, Josué Sznitman:
Multi-environment model estimation for motility analysis of Caenorhabditis Elegans. CoRR abs/1007.1398 (2010)
2000 – 2009
- 2009
- [c1]Raphael Sznitman, Henry Lin, Manaswi Gupta, Gregory D. Hager:
Active background modeling: Actors on a stage. ICCV Workshops 2009: 1222-1228
Coauthor Index
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